MARC details
000 -LEADER |
fixed length control field |
02055cam a22002897i 4500 |
001 - CONTROL NUMBER |
control field |
19466416 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20191008171115.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
170127s2017 njuad 001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2017932294 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119327639 |
Qualifying information |
(paperback) |
040 ## - CATALOGING SOURCE |
Transcribing agency |
NCL |
Modifying agency |
LIN2019 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004 |
Edition number |
23 |
Item number |
PIE-D 2017 10285 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Pierson, Lillian, |
Relator term |
|
245 10 - TITLE STATEMENT |
Title |
Data science / |
Statement of responsibility, etc. |
by Lillian Pierson ; foreword by Jake Porway, founder and executive director of DataKind. |
246 3# - VARYING FORM OF TITLE |
Title proper/short title |
Data science for dummies |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Hoboken, NJ : |
Name of producer, publisher, distributor, manufacturer |
John Wiley and Sons, Inc., |
Date of production, publication, distribution, manufacture, or copyright notice |
c2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 364 pages : |
Other physical details |
illustrations, charts ; |
Dimensions |
24 cm. |
500 ## - GENERAL NOTE |
General note |
Includes index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Part 1: Getting Started with Data Science-----------<br/>Part 2: Using Data Science to Extract Meaning from your Data------------<br/>Part 3: Creating Data Visualization that Clearly Communicate Meaning------------<br/>Part 4: Computing for Data Science------------<br/>Part 5: Applying domain Expertise to solve Real World Problem using Data Science----------<br/>Part 6: The Part of Tens-------------- |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised machine learning, including regression techniques and model validation techniques. Part III explains unsupervised machine learning, including clustering and recommendation engines. Part IV overviews big data processing, including MapReduce, Hadoop, Dremel, Storm, and Spark. The book finishes up with real world applications of data science and how data science fits into organizations. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information retrieval. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Porway, Jake, |
Relator term |
|
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Books |